What is a Data Chart?
A chart is a visual presentation of data. A chart can convey what is usually a table with rows of numbers in a picture. This allows the viewer to quickly grasp comparisons and trends more easily than looking at the raw data.
Common Data Chart Types
Some of the most common types of data charts include:
A bar chart (also known as a bar graph) shows the differences between categories or trends over time using the length or height of its bars.
The may be shown using vertical or horizontal bars. Bar graphs have two axes. One axis shows categories, while the other a range of values.
Categories are qualitative groups such types of companies, months of the year, products, and so forth. A bar will represent each category and there's usually a space between each bar.
Here's a vertical bar graph:
Here's a horizontal bar graph:
There are two more complex variations of the standard bar graph: a stacked bar chart and a clustered or grouped bar chart.
Stacked Bar Chart or Relative Value Chart
A stacked bar chart allows you represent more complex relationships between data sets. A stacked bar will let you place one or more sub-categories inside a bar while still showing the total. Obviously stacking implies that the subcategories represent a part of the whole. For example, let's say you wanted to compare student enrollment growth at a particular college in the last decade but wanted to distinguish between male and female students.
Clustered Bar Chart
Clustered or grouped bar charts are similar to stacked bar graphs in that they let you show subcategories in addition to regular categories on your chart. When the bars you want to group are only loosely related, you will definitely want to use a clustered representation. Clustered bar graphs are also useful when you have more than 3 subcategories that are part of a whole. If you tried to stack 4 or 6 categories, your graph would be a lot of harder to understand because of all the visual noise.
A histogram is similar in appearance to a bar chart, but instead of comparing categories or looking for trends over time, each bar represents how data is distributed in a single category. Each bar represents a continuous range of data or the number of frequencies for a specific data point. The histogram example below shows the distribution of test scores in a class. We can see at a glance that the distribution follows a traditional bell curve.
A line chart (also known as a line graph) plots a series of data points on a graph and connects them with lines. A line chart is particularly useful when showing trend lines with subtle differences, or with data lines that cross one another as shown in the example below.
A pie chart is a graphic that shows the breakdown of items in a set as percentages by presenting them as slices of a pie. The key to a pie chart is that all of the slices must equal 100%.
An area chart functions similarly to a line chart with values displayed over time. The purpose of the area chart is to help you compare two or more quantities as they make up part of a whole. It works well for showing a trend, for example if you wanted to compare which type of car sale contributes a bigger portion of your total sales over time.
How to Create a Chart
Step one is making sure you have data formatted the correct way.
If you're going to make a type of line graph, area chart, or bar graph, format your data like this:
If you're going to make a type of pie chart or donut chart, format your data like this:
In the Insert tab in SmartDraw, click on Graph and choose a type of graph.
Choose your data file to import and SmartDraw will automatically generate your graph.
Once imported, you can easily change the title, legend placement and even the quickly change the graph type using the Edit Graph options or just double-click on your imported chart.